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Lack of Evidence for Vaccine-Associated Enhanced Disease From COVID-19 Vaccines Among Adults in the Vaccine Safety Datalink.
- Source :
-
Pharmacoepidemiology and drug safety [Pharmacoepidemiol Drug Saf] 2024 Aug; Vol. 33 (8), pp. e5863. - Publication Year :
- 2024
-
Abstract
- Purpose: Vaccine-associated enhanced disease (VAED) is a theoretical concern with new vaccines, although trials of authorized vaccines against SARS-CoV-2 have not identified markers for VAED. The purpose of this study was to detect any signals for VAED among adults vaccinated against coronavirus disease 2019 (COVID-19).<br />Methods: In this cross-sectional study, we assessed COVID-19 severity as a proxy for VAED among 400 adults hospitalized for COVID-19 from March through October 2021 at eight US healthcare systems. Primary outcomes were admission to an intensive care unit (ICU) and severe illness (score ≥6 on the World Health Organization [WHO] Clinical Progression Scale). We compared the risk of outcomes among those who had completed a COVID-19 vaccine primary series versus those who were unvaccinated. We incorporated inverse propensity weights for vaccination status in a doubly robust regression model to estimate the causal average treatment effect.<br />Results: The causal risk ratio in vaccinated versus unvaccinated was 0.36 (95% confidence interval [CI], 0.15-0.94) for ICU admission and 0.46 (95% CI, 0.25-0.76) for severe illness.<br />Conclusion: Among hospitalized patients, reduced disease severity in those vaccinated against COVID-19 supports the absence of VAED.<br /> (© 2024 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)
- Subjects :
- Adult
Aged
Female
Humans
Male
Middle Aged
Cross-Sectional Studies
Intensive Care Units statistics & numerical data
United States epidemiology
Vaccination adverse effects
COVID-19 prevention & control
COVID-19 epidemiology
COVID-19 Vaccines adverse effects
COVID-19 Vaccines administration & dosage
Hospitalization statistics & numerical data
Severity of Illness Index
Subjects
Details
- Language :
- English
- ISSN :
- 1099-1557
- Volume :
- 33
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Pharmacoepidemiology and drug safety
- Publication Type :
- Academic Journal
- Accession number :
- 39155049
- Full Text :
- https://doi.org/10.1002/pds.5863